Tsung‐Jen Liao Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Researcher

National Center for Toxicological Research

unknown

3 h-index 9 pubs 27 cited

Research Areas

Pharmacological Effects and Toxicity Studies Genomics and Phylogenetic Studies Computational Drug Discovery Methods Health and Medical Research Impacts Liver Disease Diagnosis and Treatment Medical Device Report Analyses Bioinformatics and Genomic Networks

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OverviewAI-generated summary

Tsung‐Jen Liao's research investigates the genetic and computational factors influencing drug-induced liver injury. His work includes analyzing the interaction of drug compounds with UDP-Glucuronosyltransferase (UGT) enzymes as a predictor of liver damage. Liao has explored the role of single-nucleotide polymorphisms and genetic variants, such as those in HLA class II genes and the GBP4 gene, in determining susceptibility and transplant-free survival in patients with acute liver failure. He also utilizes computational modeling and quantitative structure-activity relationship (QSAR) modeling to predict hepatotoxicity caused by drugs and chemicals. Additionally, his research extends to analyzing medical device reports to understand patient outcomes and adverse events, including sex-based differential effects. Liao has published nine papers and has a h-index of 3, with key collaborators including Minjun Chen, Kristin Ashby, R. E. Moore, and Bohu Pan, all from the National Center for Toxicological Research.

Metrics

  • h-index: 3
  • Publications: 9
  • Citations: 27

Selected Publications

  • Genetic Variants of <i>GBP4</i>: Reduced Risks for Drug‐Induced Acute Liver Failure in Non‐Finnish European Population (2025) DOI
  • Drug interaction with UDP-Glucuronosyltransferase (UGT) enzymes is a predictor of drug-induced liver injury (2024) DOI
  • Medical device report analyses from MAUDE: Device and patient outcomes, adverse events, and sex-based differential effects (2024) DOI
  • QSAR modeling for predicting drug-induced liver injury (2023) DOI
  • DILIrank dataset for QSAR modeling of drug-induced liver injury (2023) DOI
  • Computational Modeling for the Prediction of Hepatotoxicity Caused by Drugs and Chemicals (2023) DOI
  • Whole Exome Sequencing Reveals Genetic Variants in HLA Class II Genes Associated With Transplant-free Survival of Indeterminate Acute Liver Failure (2022) DOI
  • Machine Learning to Identify Interaction of Single-Nucleotide Polymorphisms as a Risk Factor for Chronic Drug-Induced Liver Injury (2021) DOI

Collaborators

Researchers in the database who share publications

Minjun Chen National Center for Toxicological Research 9 shared publications Kristin Ashby National Center for Toxicological Research 2 shared publications R. E. Moore National Center for Toxicological Research 1 shared publication Bohu Pan National Center for Toxicological Research 1 shared publication Leihong Wu National Center for Toxicological Research 1 shared publication Bo‐Rong Pan National Center for Toxicological Research 1 shared publication

Similar Researchers

Based on overlapping research topics

R. E. Moore National Center for Toxicological Research
Pharmacological Effects and Toxicity Studies Genomics and Phylogenetic Studies Health and Medical Research Impacts
Good match 4 shared topics
Dakota L. Pouncey University of Arkansas for Medical Sciences
Pharmacological Effects and Toxicity Studies Genomics and Phylogenetic Studies Bioinformatics and Genomic Networks
Good match 3 shared topics
Derek N. Peacock University of Arkansas at Fayetteville
Genomics and Phylogenetic Studies Computational Drug Discovery Methods Bioinformatics and Genomic Networks
Good match 3 shared topics
Kristin Ashby National Center for Toxicological Research
Pharmacological Effects and Toxicity Studies Computational Drug Discovery Methods Liver Disease Diagnosis and Treatment
Good match 4 shared topics
Amanda L Burrow University of Arkansas for Medical Sciences
Pharmacological Effects and Toxicity Studies Genomics and Phylogenetic Studies Health and Medical Research Impacts
Good match 3 shared topics
Julie Frund University of Arkansas for Medical Sciences
Pharmacological Effects and Toxicity Studies Health and Medical Research Impacts Liver Disease Diagnosis and Treatment
Good match 3 shared topics